Mid-Term Exam
Relationships Between Opinions Towards Christianity, Big Buisness, and the Wealthy
All data used in these analyses was collected from the American National Election Studies survey from the 2008 election. The data displayed on this page represents people's opinions towards certain social groups in America. Survey Data
R Script: Scriptnumber1.R

Christian Fundamentalists
(Q: On a scale of 1-100, how do you feel towards Christian Fundamentalists?)
Min
1st Qu.
Median
Mean
3rd Qu.
Max
NA's
0.00
50.00
60.00
59.18
70.00
100.00
436
This table displays measures of central tendency. The minimum is the lowest data point collected. The first quarter is the 25th percentile of data points collected. The median is the most frequent data point collected. The mean is the average of all data points collected. The third quarter is the 75th percentile of data collected. The maximum is the highest data point collected. NA represents those who chose not to answer the question.

cfundamentals.jpeg
A violin plot helps us to visualize the density of information collected. This violin plot describes what percentage of the study group (x-axis) ranked Christian Fundamentalists as favorable(y- axis). The wider portions here show where survey subjects have the same opinions. We can surmise from this data that most of the population has a relatively warm attitude towards Christian fundamentalists, with warm being data points above 50. That is, this religious group is not loved by the population; rather it is seen as a 'better than neutral' group.

The Rich
(Q: On a scale from 1-100, how do you feel towards the rich?)
Min.
1st Qu.
Median
Mean
3rd Qu.
Max
NA's
0.00
50.00
50.00
58.28
70.00
100.00
279
violinrichppl.jpeg
This violin plot shows us that the rich are slightly less favorable among the population representatives, with the bulk of data lying around the 50 point range.

Big Business
(Q: On a scale from 1-100, how do you feel towards big business?)
Min.
1st Qu.
Median
Mean
3rd Qu.
Max
NA's
0.00
40.00
50.00
55.27
70.00
100.00
259

violinbigbiz.jpeg
This violin plot is the most evenly distributed of the data pictured here, and most analogous to the data representing attitudes towards the rich. The relationship between these two graphs can be further explored below.


Attitudes Towards the Rich and Christian Fundamentalists
Why is there a positive correlation, although relatively weak, between those who view Christians as "good" and those who view the rich as "good"? Is the religion, despite it's philosophy of love and compassion, fueling economic disparity? Or are Christians on average more likely to be wealthy?
scatterplot rich vs cfundamentals.jpeg
correlation coefficient= 0.2840376
A scatterplot takes two variables from a data-set and visually compares them, or demonstrates the correlation between them. In this graph it shows us if people who feel strongly towards rich people also feel strongly towards christian fundamentalists. The correlation coefficient is the numerical designation for the strength of the relationship. The integer 1 would represent the highest possible correlation, where each data point from the two variables matched up exactly. A 0 would represent the absence of correlation. A -1 represents a negative correlation, or opposite data sets. All correlation coefficients call in between 1 and -1.

Attitudes Towards the Rich and Big Business

Do people view Big Business as synonymous with individual wealth?
scatterplot rich vs bigbiz.jpeg

correlation coefficient=0.4823454
This graph shows a stronger correlation between attitudes towards rich people and big business than attitudes towards rich people and christian fundamentalists.

Further Questioning:
Since there is a relationship between Christianity and Wealth, is good health determined by religiosity or the money that may or may not be associated with it? This will require more data than the set currently being analyzed.

Excellent, this is very good. It's clean-looking, very detailed and thorough but at the same time you actually ask substantively curious and theoretically driven questions and offer possible answers. This is basically a model midterm. You flirt with conclusions or judgements that are not really demonstrated by the data at hand, but you do so in a way that seems to basically acknowledge that you're just wondering--so that's fine. I look forward to seeing what you can do once you're equipped with the tools to make more creative and also rigorous judgments and conclusions!